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Titolo:
Food intake patterns and body mass index in observational studies
Autore:
Togo, P; Osler, M; Sorensen, T; Heitmann, B;
Indirizzi:
Glostrup Univ Hosp, Res Unit Dietary Studies, Ctr Prevent Med, Glostrup, Denmark Glostrup Univ Hosp Glostrup Denmark Ctr Prevent Med, Glostrup, Denmark Univ Copenhagen, Inst Publ Hlth, Copenhagen, Denmark Univ Copenhagen Copenhagen Denmark Inst Publ Hlth, Copenhagen, Denmark Copenhagen Univ Hosp, Inst Prevent Med, Danish Epidemiol Sci Ctr, Copenhagen, Denmark Copenhagen Univ Hosp Copenhagen Denmark ol Sci Ctr, Copenhagen, Denmark
Titolo Testata:
INTERNATIONAL JOURNAL OF OBESITY
fascicolo: 12, volume: 25, anno: 2001,
pagine: 1741 - 1751
SICI:
0307-0565(200112)25:12<1741:FIPABM>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
NUTRITION EXAMINATION SURVEY; UNITED-STATES POPULATION; MAJOR CHRONIC DISEASE; DIETARY PATTERNS; COLON-CANCER; LIFE-STYLE; FOLLOW-UP; CLUSTER-ANALYSIS; NATIONAL-HEALTH; ENERGY-INTAKE;
Keywords:
diet; factor analysis; cluster analysis; diet index; review;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
53
Recensione:
Indirizzi per estratti:
Indirizzo: Togo, P Kommuul Hosp, Res Unit Dietary Studies, Inst Prevent Med, DK-1399 Copenhagen K, Denmark Kommuul Hosp Copenhagen Denmark K DK-1399 Copenhagen K, Denmark
Citazione:
P. Togo et al., "Food intake patterns and body mass index in observational studies", INT J OBES, 25(12), 2001, pp. 1741-1751

Abstract

Objective: To review studies of patterns of food intake, as assessed by diet index, factor analysis or cluster analysis, and their associations with body mass index or obesity (BMI/Ob). Design: Systematic literature review MEDLINE search with crosscheck of references. Studies: Thirty observational studies relating food intake patterns to anthropometric information were identified and reviewed. Food intake patterns were defined using a diet index, factor or cluster analysis in 12, nine andnine studies, respectively. Measures of body mass were made concurrently with the diet assessment in all studies, and only in a few cases were the primary outcomes related to BMI/Ob. Results: The food intake patterns identified could, in most factor or cluster analysis studies, be categorised as: (a) meat, fatty, sweet or energy dense foods; (b) vegetables, fruit, whole grain and low-fat foods; or (c) byhigh alcohol consumption. The diet indexes were designed to capture a highdiversity and/or food combinations matching the recommendations. The relationships with BMI/Ob were inconsistent-ten studies found that intake patterns, which we categorised as fatty, sweet or energy dense were positively associated with BMI/Ob, while similar patterns in four other studies were negatively associated with BMI. The significant associations between diet index score and BMI/Ob were consistently negative, while the associations between factor scores or cluster membership and BMI/Ob were less clear in terms of food intake pattern. Men and women had similar food intake patterns, butfood intake patterns were less often positively associated with BMI/Ob in women. In 11 studies, there were no significant associations between food intake pattern and BMI/Ob. Conclusion: This review showed that no consistent associations could be identified between BMI or Ob and food intake patterns, derived from diet index, factor analysis or cluster analysis. However, the heterogeneity of food intake patterns identified by such analyses and the lack of gold standards for the application of these techniques hampers consistent analysis of a relation between food intake patterns and health.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/01/20 alle ore 10:59:02